mlsanityData to 7 Oct 2026

Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus

arXiv 1707.02774 ↗First posted 10 Jul 2017cs.CL cs.AI stat.MLcited by 10

Not on the map. Why?

Abstract (arXiv)

Every year at the United Nations, member states deliver statements during the General Debate discussing major issues in world politics. These speeches provide invaluable information on governments' perspectives and preferences on a wide range of issues, but have largely been overlooked in the study of international politics. This paper introduces a new dataset consisting of over 7,701 English-language country statements from 1970-2016. We demonstrate how the UN General Debate Corpus (UNGDC) can be used to derive country positions on different policy dimensions using text analytic methods. The paper provides applications of these estimates, demonstrating the contribution the UNGDC can make to the study of international politics.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Jul 2017.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 2; 2024: 5; 2025: 1.

10 papers.